Computerized Tomography derived psoas muscle indices in a healthy young population in the United States

Maxwell A. Lawlor, J. Oliveto, J. Geske, B. Khandalavala
{"title":"Computerized Tomography derived psoas muscle indices in a healthy young population in the United States","authors":"Maxwell A. Lawlor, J. Oliveto, J. Geske, B. Khandalavala","doi":"10.22540/JFSF-07-038","DOIUrl":null,"url":null,"abstract":"Abstract Objective: Psoas muscle metrics from diagnostic computerized tomography (CT) scans are emerging as clinically relevant biomarkers. Most muscle metrics from the US population are from older cohorts with co-morbidities. Published reports from a young or healthy population in the United States on psoas muscle metrics optimized for age, body mass index (BMI), and sex are lacking. This study determines the psoas muscle index (PMI) and psoas muscle density (PMD) for a normal young Midwestern US population. Methods: Retrospective cross-sectional analysis of pre-existent abdominal non-contrast CT scans from a young (19-40 years old), Midwestern, predominately Caucasian population was conducted within Aquarius iNtuition software automatically after manual identification of the psoas muscle. Electronic medical records provided access to subject data and archived CT scans were reviewed. Results: From 193 (45 male, 148 female) CT scans, for males, PMI was 5.9 cm2/m2 (SD=1.7) and PMD 48.4 HU (SD=5.5); for females PMI was 5.4 cm2/m2 (SD=1.4) and PMD 48.18 HU (SD=5.5). BMI was significantly correlated with PMI and PMD for both men (p<0.001, p<0.001 respectively) and women (p<0.001, p<0.001 respectively). Conclusion: Psoas muscle metrics are newly generated for PMI and PMD in a healthy population, allowing for future comparison studies determining muscle status.","PeriodicalId":73754,"journal":{"name":"Journal of frailty, sarcopenia and falls","volume":"7 1","pages":"38 - 46"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of frailty, sarcopenia and falls","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22540/JFSF-07-038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract Objective: Psoas muscle metrics from diagnostic computerized tomography (CT) scans are emerging as clinically relevant biomarkers. Most muscle metrics from the US population are from older cohorts with co-morbidities. Published reports from a young or healthy population in the United States on psoas muscle metrics optimized for age, body mass index (BMI), and sex are lacking. This study determines the psoas muscle index (PMI) and psoas muscle density (PMD) for a normal young Midwestern US population. Methods: Retrospective cross-sectional analysis of pre-existent abdominal non-contrast CT scans from a young (19-40 years old), Midwestern, predominately Caucasian population was conducted within Aquarius iNtuition software automatically after manual identification of the psoas muscle. Electronic medical records provided access to subject data and archived CT scans were reviewed. Results: From 193 (45 male, 148 female) CT scans, for males, PMI was 5.9 cm2/m2 (SD=1.7) and PMD 48.4 HU (SD=5.5); for females PMI was 5.4 cm2/m2 (SD=1.4) and PMD 48.18 HU (SD=5.5). BMI was significantly correlated with PMI and PMD for both men (p<0.001, p<0.001 respectively) and women (p<0.001, p<0.001 respectively). Conclusion: Psoas muscle metrics are newly generated for PMI and PMD in a healthy population, allowing for future comparison studies determining muscle status.
计算机断层扫描得出的腰肌指数在美国健康的年轻人群
目的:诊断性计算机断层扫描(CT)的腰肌指标正在成为临床相关的生物标志物。来自美国人口的大多数肌肉指标来自有合并症的老年人群。在美国,缺乏针对年龄、身体质量指数(BMI)和性别优化的腰肌指标的年轻或健康人群的公开报告。本研究确定了美国中西部正常年轻人的腰肌指数(PMI)和腰肌密度(PMD)。方法:回顾性横断面分析来自中西部的年轻(19-40岁),主要是高加索人的腹部非对比CT扫描,在人工识别腰肌后,在Aquarius iNtuition软件中自动进行。电子医疗记录提供了对受试者数据的访问,并审查了存档的CT扫描。结果:193例(男性45例,女性148例)CT扫描,男性PMI为5.9 cm2/m2 (SD=1.7), PMD为48.4 HU (SD=5.5);女性PMI为5.4 cm2/m2 (SD=1.4), PMD为48.18 HU (SD=5.5)。BMI与男性(分别p<0.001, p<0.001)和女性(分别p<0.001, p<0.001)的PMI和PMD显著相关。结论:腰肌指标是健康人群PMI和PMD的新指标,允许未来的比较研究确定肌肉状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
6 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信